MARC details
| 000 -LEADER |
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05121nam a22005055i 4500 |
| 001 - CONTROL NUMBER |
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978-3-319-02970-2 |
| 003 - CONTROL NUMBER IDENTIFIER |
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DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20160405110545.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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140120s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319029702 |
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978-3-319-02970-2 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-3-319-02970-2 |
| Source of number or code |
doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
R-RZ |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
MBGR |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
MED000000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
610 |
| Edition number |
23 |
| 245 10 - TITLE STATEMENT |
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| Title |
Protein Conformational Dynamics |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc |
edited by Ke-li Han, Xin Zhang, Ming-jun Yang. |
| 264 #1 - |
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| -- |
Cham : |
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Springer International Publishing : |
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Imprint: Springer, |
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2014. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XII, 488 p. 123 illus., 102 illus. in color. |
| Other physical details |
online resource. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 347 ## - |
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text file |
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PDF |
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rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Advances in Experimental Medicine and Biology, |
| International Standard Serial Number |
0065-2598 ; |
| Volume number/sequential designation |
805 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Protein folding simulations by generalized-ensemble algorithms -- Application of Markov State Models to Simulate Long Timescale Dynamics of Biological Macromolecules -- Understanding protein dynamics using conformational ensembles -- Generative Models of Conformational Dynamics -- Generalized spring tensor models for protein fluctuation dynamics and conformation changes -- The Joys and Perils of Flexible Fitting -- Coarse-Grained Models of the Proteins Backbone Conformational Dynamics -- Simulating protein folding in different environmental conditions -- Simulating the peptide folding kinetic related spectra based on the Markov State Model -- The Dilemma of Conformational Dynamics in Enzyme Catalysis: Perspectives from Theory and Experiment -- Exploiting protein intrinsic flexibility in drug design -- NMR and computational methods in the structural and dynamic characterization of ligand-receptor interactions -- Molecular Dynamics Simulation of Membrane Proteins -- Free-energy landscape of intrinsically disordered proteins investigated by all-atom multicanonical molecular dynamics -- Coordination and control inside simple biomolecular machines -- Multi-state Targeting Machinery Govern the Fidelity and Efficiency of Protein Localization -- Molecular dynamics simulations of F1-ATPase -- Chemosensorial G-proteins-coupled receptors: a perspective from computational methods. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
This book discusses how biological molecules exert their function and regulate biological processes, with a clear focus on how conformational dynamics of proteins are critical in this respect. In the last decade, the advancements in computational biology, nuclear magnetic resonance including paramagnetic relaxation enhancement, and fluorescence-based ensemble/single-molecule techniques have shown that biological molecules (proteins, DNAs and RNAs) fluctuate under equilibrium conditions. The conformational and energetic spaces that these fluctuations explore likely contain active conformations that are critical for their function. More interestingly, these fluctuations can respond actively to external cues, which introduces layers of tight regulation on the biological processes that they dictate. A growing number of studies have suggested that conformational dynamics of proteins govern their role in regulating biological functions, examples of this regulation can be found in signal transduction, molecular recognition, apoptosis, protein / ion / other molecules translocation and gene expression. On the experimental side, the technical advances have offered deep insights into the conformational motions of a number of proteins. These studies greatly enrich our knowledge of the interplay between structure and function. On the theoretical side, novel approaches and detailed computational simulations have provided powerful tools in the study of enzyme catalysis, protein / drug design, protein / ion / other molecule translocation and protein folding/aggregation, to name but a few. This work contains detailed information, not only on the conformational motions of biological systems, but also on the potential governing forces of conformational dynamics (transient interactions, chemical and physical origins, thermodynamic properties). New developments in computational simulations will greatly enhance our understanding of how these molecules function in various biological events. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Medicine. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Proteins. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Bioinformatics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computational biology. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Biomedicine. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Biomedicine general. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Protein Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer Appl. in Life Sciences. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Han, Ke-li. |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Zhang, Xin. |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Yang, Ming-jun. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Printed edition: |
| International Standard Book Number |
9783319029696 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Advances in Experimental Medicine and Biology, |
| -- |
0065-2598 ; |
| Volume number/sequential designation |
805 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-3-319-02970-2">http://dx.doi.org/10.1007/978-3-319-02970-2</a> |
| 912 ## - |
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ZDB-2-SBL |
